Validation of methods for ranking fuzzy numbers in decision making

被引:1
作者
Gegov, Alexander [1 ]
Abu Bakar, Ahmad Syafadhli [1 ]
机构
[1] Univ Portsmouth, Sch Comp, Portsmouth PO1 3HE, Hants, England
关键词
Ranking; fuzzy numbers; type-1 fuzzy numbers; type-2 fuzzy numbers; Z-numbers; ranking properties; consistency; efficiency; SELECTION; HEIGHTS;
D O I
10.3233/IFS-151717
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The concept of ranking fuzzy numbers has attracted significant attention recently due to its successful use in decision making problems. This concept allows decision makers to appropriately exercise their subjective judgment under situations that are vague, imprecise, ambiguous and uncertain in nature. The literature on ranking fuzzy numbers describes the validation of ranking methods as the most important aspect of the application of these methods. This is due to the fact that the validation confirms the suitability of the associated methods for ranking fuzzy numbers and decision making purposes. In this paper, a comprehensive review on validation techniques for methods of ranking fuzzy numbers is presented. These techniques are associated with properties of ranking fuzzy quantities as well as consistency and efficiency evaluation of ranking operations. The techniques are described in detail and discussed in the context of many established and more recent works in the field.
引用
收藏
页码:1139 / 1149
页数:11
相关论文
共 50 条
  • [11] A fuzzy ranking method for fuzzy numbers
    Lee, JH
    You, KH
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2003, E86A (10) : 2650 - 2658
  • [12] Vague ranking of fuzzy numbers
    M. Adabitabar Firozja
    F. Rezai Balf
    S. Firouzian
    Mathematical Sciences, 2017, 11 : 189 - 193
  • [13] Vague ranking of fuzzy numbers
    Firozja, M. Adabitabar
    Balf, F. Rezai
    Firouzian, S.
    MATHEMATICAL SCIENCES, 2017, 11 (03) : 189 - 193
  • [14] A Hybrid Approach for Ranking Decision- Making Units with Fuzzy Variables
    Wichapa, Narong
    Warorot, Waraporn
    INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2023, 22 (02): : 97 - 108
  • [15] Ranking of Z-Numbers and Its Application in Decision Making
    Aliev, R. A.
    Huseynov, O. H.
    Serdaroglu, R.
    INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2016, 15 (06) : 1503 - 1519
  • [16] Ranking fuzzy numbers by preference ratio
    Modarres, M
    Sadi-Nezhad, S
    FUZZY SETS AND SYSTEMS, 2001, 118 (03) : 429 - 436
  • [17] Ranking of fuzzy numbers by a new metric
    Tofigh Allahviranloo
    M. Adabitabar Firozja
    Soft Computing, 2010, 14 : 773 - 782
  • [18] Ranking of fuzzy numbers by a new metric
    Allahviranloo, Tofigh
    Firozja, M. Adabitabar
    SOFT COMPUTING, 2010, 14 (07) : 773 - 782
  • [19] Comparison of Fuzzy Numbers with Ranking Fuzzy and Real Number
    Yaghobi, M.
    Rabbani, M.
    Firozja, M. Adabitabar
    Vahidi, J.
    JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS, 2014, 12 (01): : 65 - 72
  • [20] Ranking Interval-Valued Fuzzy Numbers with Intuitionistic Fuzzy Possibility Degree and Its Application to Fuzzy Multi-Attribute Decision Making
    Zhifu Tao
    Xi Liu
    Huayou Chen
    Ligang Zhou
    International Journal of Fuzzy Systems, 2017, 19 : 646 - 658